There is an ongoing interest in examining users’ experiences made available through social media. Unfortunately these experiences like reviews on products and/or services are sometimes conflicting and thus, do not help develop a concise opinion on these products and/or services. This paper presents a multi-stage approach that extracts and consolidates reviews after addressing specific issues such as user multiidentity and user limited credibility. A system along with a set of experiments demonstrate the feasibility of the approach.
CITATION STYLE
Azaza, L., Ennaji, F. Z., Maamar, Z., El Fazziki, A., Savonnet, M., Sadgal, M., … Benslimane, D. (2016). A credibility and classification-based approach for opinion analysis in social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9893 LNCS, pp. 303–316). Springer Verlag. https://doi.org/10.1007/978-3-319-45547-1_24
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